Granger Sutton, PhD

Professor


301-795-7392

Bio

Granger Sutton, PhD is a professor at the J. Craig Venter Institute (JCVI) where his primary role is to coordinate the prokaryotic informatics group and oversee all aspects of shotgun fragment assembly. Prior to joining JCVI, Dr. Sutton was a director in the Informatics Research department at Celera Genomics from 1998 to 2004 where he developed and managed research programs in gene finding, comparative genomics, and shotgun fragment assembly including the development of the Celera Assembler for assembling the human genome. He was a Computer Scientist at The Institute for Genomic Research (TIGR) from 1992-1998 developing protein homology search, multiple sequence alignment, and shotgun fragment assembly algorithms.

JCVI is one of three NIAID Genome Centers for Infectious Disease (GCID) providing genome sequencing, genotyping, and analysis in response to arising infectious disease issues as a resource to the research community. His group supports the annotation and analysis for prokaryotic projects under this contract. The nature of the GCID prokaryotic projects, where dozens or hundreds of strains or closely related species were to be sequenced, necessitated the development of pan-genome analysis tools. Dr. Sutton has taken a leading role in the development of pan-genome analysis tools.

Research Priorities

  • Developed the TIGR Assembler to assemble the first genome of a free-living organism, Haemophilus influenza, as well as many more prokaryotic genomes.
  • Co-developed the Celera Assembler to assemble the Drosophila melanogaster, human, mouse, rat as well as many more eukaryotic genomes. The Celera assembler enabled the shotgun fragment assembly of large eukaryotic genomes revolutionizing the sequencing strategy for large genomes.
  • Co-developed a method for determining mammalian orthologous genes and their intron/exon boundaries using genome and mRNA data.
  • Co-developed a method for clustering and analyzing protein fragment data from metagenomic data sets.
  • Co-developed a method for determining orthologous genes in prokaryotes that can differentiate close paralogs using gene neighborhood context.
The social structure of microbial community involved in colonization resistance.
The ISME journal. 2014-03-01; 8.3: 564-74.
PMID: 24088624
Evolution of high-level ethambutol-resistant tuberculosis through interacting mutations in decaprenylphosphoryl-β-D-arabinose biosynthetic and utilization pathway genes.
Nature genetics. 2013-10-01; 45.10: 1190-7.
PMID: 23995136
CharProtDB: a database of experimentally characterized protein annotations.
Nucleic acids research. 2012-01-01; 40.Database issue: D237-41.
PMID: 22140108
Assembly algorithms for next-generation sequencing data.
Genomics. 2010-06-01; 95.6: 315-27.
PMID: 20211242
The comprehensive microbial resource.
Nucleic acids research. 2010-01-01; 38.Database issue: D340-5.
PMID: 19892825
The Protein Naming Utility: a rules database for protein nomenclature.
Nucleic acids research. 2010-01-01; 38.Database issue: D336-9.
PMID: 20007151
Assembling millions of short DNA sequences using SSAKE.
Bioinformatics (Oxford, England). 2007-02-15; 23.4: 500-1.
PMID: 17158514
A Sanger/pyrosequencing hybrid approach for the generation of high-quality draft assemblies of marine microbial genomes.
Proceedings of the National Academy of Sciences of the United States of America. 2006-07-25; 103.30: 11240-5.
PMID: 16840556
Gene and alternative splicing annotation with AIR.
Genome research. 2005-01-01; 15.1: 54-66.
PMID: 15632090
Frequency and distribution of DNA uptake signal sequences in the Haemophilus influenzae Rd genome.
Science (New York, N.Y.). 1995-07-28; 269.5223: 538-40.
PMID: 7542802